请教vit模型，百度网盘里面的权重是怎么得到的？自己重新训练的还是从官方实现的npz权重转换过来的？

[ShihuaiXu]

def vit_base_patch16_224(num_classes: int = 1000):
"""
ViT-Base model (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929).
ImageNet-1k weights @ 224x224, source https://github.com/google-research/vision_transformer.
weights ported from official Google JAX impl:
链接: https://pan.baidu.com/s/1zqb08naP0RPqqfSXfkB2EA 密码: eu9f
"""
model = VisionTransformer(img_size=224,
patch_size=16,
embed_dim=768,
depth=12,
num_heads=12,
representation_size=None,
num_classes=num_classes)
return model
百度网盘里的权重，weights ported from official Google JAX impl是什么意思？直接从npz模型转过来的，还是自己重新训练得到了这个模型？